most cited3D ToF LiDAR in Mobile Robotics: A Review

18 citations · 18 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CE2026

FleetGuard:Identity-Capped Conformal Risk Allocation for Reliable UAV Edge-Cloud Offloading

Junhao Wei, Haochen Li, Yifu Zhao +7

Compromised UAV reporters can poison latency telemetry and attract offloaded tasks to degraded servers. We present FleetGuard, an identity-capped conformal offloader for local, edg…

cs.CE2026

Real-Validated UAV Audition Under Rotor Ego-Noise for Low-False-Alarm Human Detection

Junhao Wei, Haochen Li, Dexing Yao +7

Detecting human acoustic cues from UAV-mounted microphones could support acoustic search and rescue, but rotor ego-noise often masks speech, cries, coughs, and other human sounds a…

cs.CE2026

ARIES-Mission2: A Zero-Shot Vision-Language-Action Framework for Fast Large-Scale Aerial Mission Generation

Junhao Wei, Yanxiao Li, Haochen Li +8

Multimodal Large Language Models (MLLMs) have shown strong semantic understanding capabilities, but their direct use in low-altitude Unmanned Aerial Vehicle (UAV) mission generatio…

cs.CE2026

A Polynomial-Decay and Pinhole-Imaging Whale Optimization Algorithm for UAV Relay Communication Deployment

Zhenhong Peng, Junhao Wei, Baili Lu +6

Unmanned aerial vehicle (UAV) relays deliver flexible, on-demand wireless coverage, but jointly tuning the position, altitude, transmit power and bandwidth of the relay is a non-co…

cs.CE2026

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction

Junhao Wei, Baili Lu, Zhenhong Peng +10

Sequence-based deep learning offers a scalable alternative to structure-based scoring for protein-ligand binding affinity prediction. However, progress is hard to interpret when ar…

cs.LG2026

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector

Junhao Wei, Yanxiao Li, Bidong Chen +9

We present a unified experiment, analysis, and benchmark study of multivariate time-series (MTS) anomaly detection. Ten family-representative detectors -- spanning statistical, rec…

cs.CE2026

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining

Junhao Wei, Haochen Li, Yanxiao Li +7

Mining anomalies from unmanned aerial vehicle (UAV) state-estimation logs is challenging because failures are sparse, temporally structured, and distributed across heterogeneous PX…

cs.RO2026

KIO-planner: Attention-Guided Single-Stage Motion Planning with Dual Mapping for UAV Navigation

Dexing Yao, Haochen Li, Junhao Wei +11

Autonomous UAV flight in confined, wall-dense environments requires low-latency and reliable motion planning under strict safety constraints. Traditional optimization-based planner…

cs.NE2026

WASHH: An Anchor-Aware Whale-Guided Selection Hyper-Heuristic for Continuous Optimization and SVC Configuration

Yifu Zhao, Xiaofan Zou, Junhao Wei +9

Learning-assisted algorithm design often has to make reliable search decisions under small evaluation budgets, where committing to a single metaheuristic can be unreliable. We prop…

cs.AI2026

Low-Cost Labels, Reliable Choices: Rollout-Calibrated Hyper-Heuristics for Job Shop Scheduling

Junhao Wei, Yanxiao Li, Yifu Zhao +8

Learning-assisted hyper-heuristics can select among dispatching rules while preserving the feasibility and interpretability of constructive Job Shop Scheduling Problem (JSSP) heuri…

cs.RO2026

SAGA: A Robust Self-Attention and Goal-Aware Anchor-based Planner for Safe UAV Autonomous Navigation

Junhao Wei, Yanxiao Li, Dexing Yao +9

Agile unmanned aerial vehicle (UAV) navigation in cluttered environments demands a planning architecture that is both computationally efficient and structurally expressive enough t…

cs.RO2022★ 18 cited

3D ToF LiDAR in Mobile Robotics: A Review

Tao Yang, You Li, Cheng Zhao +5

In the past ten years, the use of 3D Time-of-Flight (ToF) LiDARs in mobile robotics has grown rapidly. Based on our accumulation of relevant research, this article systematically r…